张帅通 - 北京理工大学 - 医学技术学院

个人简介

张帅通，北京理工大学预聘助理教授（特别副研究员）。自2015年攻读博士学位以来，面向脑肿瘤和食管癌等疾病临床诊疗中的难点，从事基于人工智能的医学影像量化分析研究。主要研究方向包括基于人工智能的医学影像分割，分类，并应用于脑肿瘤和食管癌辅助诊疗。以第一作者（含共同第一作者）在npj Precision Oncology, European Radiology, Annals of Surgical Oncology, Journal of MRI等国际权威期刊会议上发表论文10余篇。相关工作得到美国科学促进会（AAAS）主办的全球科学新闻发布平台"EurekAlert!"报道及new wise和medical Xpress等科学新闻媒体转载报道。作为专家共识共同制定人参与制定一项中华医学会专家共识。主持国自然青年基金1项，参与面上项目3项。教育培训经历 2015-09至2020-07，中国科学院大学自动化研究所，计算机应用技术，博士 2011-09至2015-06，北京交通大学，计算机与信息技术学院，生物医学工程，学士工作经历 2023-03至今，北京理工大学，医学技术学院，预聘助理教授（特别副研究员） 2020-07至2023-02，北京航空航天大学，医学科学与工程学院，博士后，合作导师：樊瑜波教授

研究领域

基于人工智能的医学影像分析研究算法研究：针对医学影像分析任务面临的样本量小，长尾分布，数据孤岛等问题，通过创新半监督、原型学习等深度学习等算法，提高医学影像分割分类任务精度；应用研究：针对肿瘤临床诊疗中遇到的难题，采用影像组学或深度学习等方法量化分析医学影像，辅助解决肿瘤术前精确诊断或治疗效果评估等临床问题。

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Zhang, S.#, Huang, S.#, He, W.#, Wei, J.#, Huo, L., Jia, N., ... & Li, J. (2022). Radiomics-based preoperative prediction of lymph node metastasis in intrahepatic cholangiocarcinoma using contrast-enhanced computed tomography. Annals of Surgical Oncology, 29(11), 6786-6799. Zhang, S. T.#, Wang, S. Y.#, Zhang, J.#, Dong, D.#, Mu, W., Xia, X. E., ... & Liu, J. H. (2023). Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study. Heliyon, 9(3). Zhang, S.#, Mu, W.#, Dong, D.#, Wei, J.#, Fang, M., Shao, L., ... & Tian, J. (2023). The applications of artificial intelligence in digestive system neoplasms: a review. Health Data Science, 3, 0005. Yan, J.#, Zhang, B.#, Zhang, S.#, Cheng, J., Liu, X., Wang, W., ... & Zhang, Z. (2021). Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients. NPJ Precision Oncology, 5(1), 72. Zhang, S.#, Chen, Z.#, Wei, J., Chi, X., Zhou, D., Ouyang, S., ... & Liu, Y. (2021). A model based on clinico-biochemical characteristics and deep learning features from MR images for assessing necroinflammatory activity in chronic hepatitis B. Journal of Viral Hepatitis, 28(11), 1656-1659. Zhang, S.#, Song, G.#, Zang, Y., Jia, J., Wang, C., Li, C., ... & Zhang, Y. (2018). Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery. European radiology, 28, 3692-3701. Niu, J.#, Zhang, S.#, Ma, S., Diao, J., Zhou, W., Tian, J., ... & Jia, W. (2019). Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images. European radiology, 29, 1625-1634. Qi, Y.#, Zhang, S.#, Wei, J., Zhang, G., Lei, J., Yan, W., ... & Jin, Z. (2020). Multiparametric MRI‐Based Radiomics for Prostate Cancer Screening With PSA in 4–10 ng/mL to Reduce Unnecessary Biopsies. Journal of Magnetic Resonance Imaging, 51(6), 1890-1899. Tan, Y.#, Zhang, S. T.#, Wei, J. W., Dong, D., Wang, X. C., Yang, G. Q., ... & Zhang, H. (2019). A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery. European radiology, 29, 3325-3337. EI Journal paper Zhang, S., Qi, Y., Wei, J., Niu, J., Gu, D., Han, Y., ... & Tian, J. (2019, March). Radiomics analysis potentially reduces over-diagnosis of prostate cancer with PSA levels of 4-10 ng/ml based on DWI data. In Medical Imaging 2019: Computer-Aided Diagnosis (Vol. 10950, pp. 510-515). SPIE. 中文论文 Interventional Medicine Center Association. (2021). 人工智能应用于食管癌临床诊疗的专家共识. 中华介入放射学电子杂志, 9(03), 235. (作为该专家共识共同制定人)